Corey Hardin

ORCID: 0000-0002-9279-6370
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About
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Research Areas
  • Cellular Mechanics and Interactions
  • Protein Structure and Dynamics
  • Enzyme Structure and Function
  • Thermal Radiation and Cooling Technologies
  • Phase Change Materials Research
  • Mass Spectrometry Techniques and Applications
  • SARS-CoV-2 and COVID-19 Research
  • Cardiovascular and exercise physiology
  • Angiogenesis and VEGF in Cancer
  • Advanced Thermoelectric Materials and Devices
  • Advanced X-ray Imaging Techniques
  • Blood properties and coagulation
  • 3D Printing in Biomedical Research
  • Adaptive optics and wavefront sensing
  • Pulmonary Hypertension Research and Treatments
  • Air Quality and Health Impacts
  • Particle Accelerators and Free-Electron Lasers
  • RNA and protein synthesis mechanisms
  • Hemodynamic Monitoring and Therapy
  • Thermal properties of materials
  • Climate Change and Health Impacts
  • Respiratory Support and Mechanisms
  • COVID-19 Clinical Research Studies
  • Optical Systems and Laser Technology
  • Health Policy Implementation Science

Massachusetts General Hospital
2016-2025

Harvard University
2013-2024

Newton Wellesley Hospital
2024

Tufts University
2024

SLAC National Accelerator Laboratory
2018-2023

Menlo School
2018

Colorado School of Mines
2016-2018

University of California, Riverside
2014-2017

California Polytechnic State University
2008

University of Illinois Urbana-Champaign
1999-2006

Mechanical robustness of the cell under different modes stress and deformation is essential to its survival function. Under tension, mechanical rigidity provided by cytoskeletal network; with increasing stress, this network stiffens, providing increased resistance deformation. However, a must also resist compression, which will inevitably occur whenever volume decreased during such biologically important processes as anhydrobiosis apoptosis. individual filaments can buckle, thereby reducing...

10.1073/pnas.0901462106 article EN Proceedings of the National Academy of Sciences 2009-06-12

Abstract As predicting the trajectory of COVID-19 is challenging, machine learning models could assist physicians in identifying high-risk individuals. This study compares performance 18 algorithms for ICU admission and mortality among patients. Using patient data from Mass General Brigham (MGB) Healthcare database, we developed internally validated using patients presenting to Emergency Department (ED) between March-April 2020 ( n = 3597) further them temporally distinct individuals who...

10.1038/s41746-021-00456-x article EN cc-by npj Digital Medicine 2021-05-21

Endothelial cell alignment along the direction of laminar fluid flow is widely understood to be a defining morphological feature vascular homeostasis. While role associated signaling and structural events have been well studied, intercellular stresses under shear remained ill-defined these in process has obscure. To fill this gap, we report here tractions as complete in-plane stress fields measured within human umbilical vein endothelial (HUVEC) monolayer subjected steady 1 Pa. Tractions,...

10.1152/ajpcell.00363.2014 article EN AJP Cell Physiology 2015-02-05
Ana B. Villaseñor-Altamirano Dhawal Jain Yunju Jeong Jaivardhan A. Menon Mari Kamiya and 95 more Hibah Haider Reshmi Manandhar Muhammad Dawood Amir Sheikh Humra Athar Louis T. Merriam Min Hyung Ryu Takanori Sasaki Peter J. Castaldi Deepak A. Rao Lynette M. Sholl Marina Vivero Craig P. Hersh Xiaobo Zhou Justus Veerkamp Jeong H. Yun Edy Y. Kim Markus Koch Alessandro Arduini Hana Černecká Nicole Schmidt Alexis Laux‐Biehlmann Damian Brockschnieder Xiaofei Cong Anna Engler Mahmoud M. Ibrahim Dhawal Jain Ivan Kryukov Kuldeep Kumawat T. Lang Yelena Leathurby Xin Lin Joerg Meding Carlos Neideck Kseniya Obraztsova Chandan Pavuluri Magdalena Platzk Patrick Smith Florian Sohler Salil Srivastava Pooja Srinivasa Tobias Strunz Jody Sylvia Lea Vaas Justus Veerkamp Alex Zink Lingyao Zhang Liang Zeng Xin Lin Edwin K. Silverman Vincent J. Carey Peter J. Castaldi Michael H. Cho Dawn L. DeMeo Craig P. Hersh Brian D. Hobbs Matthew Moll Heena Rijhwani Jeong H. Yun Xiaobo Zhou Bruce D. Levy Yohannes Tesfaigzi Humra Athar Yan Bai Rebecca M. Baron Tracy J. Doyle Souheil El‐Chemaly Laura E. Fredenburgh Gary Matt Hunninghake Yunju Jeong Edy Y. Kim Nandini Krishnamoorthy Yohannes A. Mebratu Mark A. Perrella Joselyn Rojas Quintero Z.H. Negasi Mohammed Mizanur Rahman D. Tassew Nirmal S. Sharma Tomoyoshi Tamura Ana B. Villaseñor-Altamirano Benjamin D. Medoff Elizabeth Abe Katherine Black Corey Hardin Rachel S. Knipe Barry S. Shea Jill Spiney Mahaa Albsuharif Francesca Giacona Armin Jayaswai Greg Keras Sool Lee Jianyuan Liu Chandan Pavuluri Betty Pham

Rationale: Despite the importance of inflammation in chronic obstructive pulmonary disease (COPD), immune cell landscape lung tissue patients with mild-moderate has not been well characterized at single-cell and molecular level. Objectives: To define from COPD resolution. Methods: We performed transcriptomic, proteomic, T-cell receptor repertoire analyses on (n = 5, Global Initiative for Chronic Obstructive Lung Disease I or II), emphysema without airflow obstruction 5), end-stage 2),...

10.1164/rccm.202305-0924oc article EN American Journal of Respiratory and Critical Care Medicine 2023-09-27

Systematic understanding and real-time feedback capability for x-ray free electron laser (FEL) accelerator optical components are critical scientific experiments instrument performance.Single-shot wavefront sensing enables characterization of the intensity local electric field distribution at sample plane, something that is important such as nonlinear studies.It can also provide alignment tuning FEL beam instrumentation optics, leading to optimal performance greater operational efficiency.A...

10.1364/optica.5.000967 article EN cc-by Optica 2018-08-06

We describe a method for predicting the structure of α/β class proteins in absence information from homologous structures. The is based on an associative memory model short to intermediate range sequence contacts and contact potential long contacts. coefficients energy function are chosen maximize ratio folding temperature glass transition temperature. use resulting optimized predict three protein domains ranging length 81 115 residues. predictions align with low rms deviations large...

10.1073/pnas.252753899 article EN Proceedings of the National Academy of Sciences 2003-01-28

This article describes the development and testing of a novel, water-cooled, active optic mirror system (called "REAL: Resistive Element Adjustable Length") that combines cooling with applied auxiliary heating, tailored to spatial distribution thermal load generated by incident beam. technique is theoretically capable sub-nanometer surface figure error control even at high power density. Tests conducted in an optical metrology laboratory synchrotron X-ray beamlines showed ability maintain...

10.1364/oe.394310 article EN cc-by Optics Express 2020-05-26

Protein structure prediction is beginning to be, at least partially, successful. Evaluating predictions, however, has many elements of subjectivity, making it difficult determine the nature and extent improvements that are most needed. We describe how funnel-like energy functions used for protein determines their quality can be quantified using landscape theory multiple histogram sampling methods. Prediction algorithms exhibit a "caldera"-like rather than perfectly funneled one. Estimates...

10.1147/rd.453.0475 article EN IBM Journal of Research and Development 2001-05-01

SummaryAlthough the NEJM Group publications have already been covering health consequences of climate change and air pollution, we are redoubling our commitment in response to increasing urgency. We launching a broader effort starting with articles each journals addressing different aspects this unprecedented challenge.

10.1056/cat.22.0186 article EN NEJM Catalyst 2022-06-15

We discuss the construction of a simple, off-lattice model protein with comparatively detailed representation backbone, and use it to address some general aspects folding kinetics small helical two peptide fragments. The makes an associative memory hamiltonian smoothly interpolate between limits native contact only, or Gō, potential statistical pair derived from database known structures. have observed qualitatively different behavior in these limits. In Gō limit, we see apparently...

10.1002/(sici)1097-0134(19990215)34:3<281::aid-prot2>3.0.co;2-2 article EN Proteins Structure Function and Bioinformatics 1999-02-15

We discuss how protein structure prediction schemes may be refined via a cumulant expansion approach using optimization criteria motivated by energy landscape ideas. The is advantageously combined with free profile analysis based on multiple histogram sampling methods, which enables quantitative assessment of the effects refinement to made. widely applicable, but illustrated here for previously described scheme intended use in absence any known homology information. relationship previous discussed.

10.1063/1.1494417 article EN The Journal of Chemical Physics 2002-09-01

Natural proteins fold because their free energy landscapes are funneled to native states. The degree which a model function for protein structure prediction can avoid the multiple minima problem and reliably yield at least low-resolution predictions is also dependent on topography of landscape. We show that funneling be quantitatively expressed in terms few averaged properties This allows us optimize simplified functions even absence homology information. Here we outline optimization...

10.1002/jcc.1162 article EN Journal of Computational Chemistry 2001-11-14

Energy landscape theory is used to obtain optimized energy functions for predicting protein structure, without using homology information. At short sequence separation the are associative memory Hamiltonians constructed from a database of folding patterns in nonhomologous proteins and at large separations they have form simple pair potentials. The lowest minima provide reasonably accurate tertiary structures even though no homologous included construction Hamiltonian. We also quantify...

10.1073/pnas.230432197 article EN Proceedings of the National Academy of Sciences 2000-12-12

This study introduces a tailored COVID-19 model for patients with cancer, incorporating viral variants and immune-response dynamics. The aims to optimize vaccination strategies, contributing personalized healthcare vulnerable groups. Despite the declining number of deaths hospitalizations, combination waning immunity multiple circulating means that there is an ongoing need rational approach design routine schedules.1Magen O. Waxman J.G. Makov-Assif M. Vered R. Dicker D. Hernán M.A. Lipsitch...

10.1016/j.xcrm.2024.101436 article EN cc-by-nc-nd Cell Reports Medicine 2024-03-01

A key feature of all inflammatory processes is disruption the vascular endothelial barrier. Such initiated in part through active contraction cytoskeleton cell (EC). Because contractile forces are propagated from to across a great many cell-cell junctions, this process strongly cooperative and highly nonlocal. We show here that characteristic length scale propagation modulated by agonists antagonists impact permeability In presence including thrombin, histamine, H2O2, force correlation...

10.1021/jp4020965 article EN The Journal of Physical Chemistry B 2013-05-02
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